Title :
The Method for Online Identification of Low-Frequency Oscillations in Power System
Author :
Zhang, Pu ; Ma, Jin ; Zhang, Guo-fei ; Hu, Yang-yu ; Fu, Hong-jun ; Wang, Hong-yin
Author_Institution :
Dept. of Electr. & Electr. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
In large-scale power system, low frequency oscillation is becoming a serious threat to the power system security. Online identification is used to monitor the low frequency oscillations and control the system damping. This paper presents a method to identify the characteristic of low frequency oscillations, and describe the online implementation strategy. The simulation result of real power grid validates the effectivity of the presented method.
Keywords :
damping; fast Fourier transforms; power grids; power system security; power system stability; large-scale power system; low-frequency oscillation; online identification; power grid; power system security; Algorithm design and analysis; Damping; Fitting; Oscillators; Power systems; Signal processing algorithms; Signal to noise ratio;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6253-7
DOI :
10.1109/APPEEC.2011.5748557
